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    IJCAI
    2007
    180views Artificial Intelligence» more  IJCAI 2007»
    Dynamically Weighted Hidden Markov Model for Spam Deobfuscation
    13 years 8 months ago
    Dynamically Weighted Hidden Markov Model for Spam Deobfuscation
    Download  www.ijcai.org
    Spam deobfuscation is a processing to detect obfuscated words appeared in spam emails and to convert them back to the original words for correct recognition. Lexicon tree hidden M...
    Seunghak Lee, Iryoung Jeong, Seungjin Choi
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    MVA
    2007
    309views Computer Vision» more  MVA 2007»
    Robust Facial Feature Extraction Using Embedded Hidden Markov Model for Face Recognition under Large Pose Variation
    13 years 6 months ago
    Robust Facial Feature Extraction Using Embedded Hidden Markov Model for Face Recognition under Large Pose Variation
    Download  www.cvl.iis.u-tokyo.ac.jp
    We propose an algorithm for extracting facial features robustly from images for face recognition under large pose variation. Rectangular facial features are retrieved via the by-p...
    Ping-Han Lee, Yun-Wen Wang, Jison Hsu, Ming-Hsuan ...
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    PRL
    2007
    131views more  PRL 2007»
    A new look at discriminative training for hidden Markov models
    13 years 6 months ago
    A new look at discriminative training for hidden Markov models
    Download  research.microsoft.com
    ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classiļ...
    Xiaodong He, Li Deng
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    AE
    2005
    Springer
    69views Artificial Intelligence» more  AE 2005»
    An Exponential Representation in the API Algorithm for Hidden Markov Models Training
    14 years 29 days ago
    An Exponential Representation in the API Algorithm for Hidden Markov Models Training
    Download  www.hant.li.univ-tours.fr
    In this paper, we show how an eļ¬ƒcient ant based algorithm, called API and initially designed to perform real parameter optimization, can be adapted to the diļ¬ƒcult problem of Hi...
    Sebastien Aupetit, Nicolas Monmarché, Moham...
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    NAACL
    1994
    96views Computational Linguistics» more  NAACL 1994»
    Japanese Word Segmentation by Hidden Markov Model
    13 years 8 months ago
    Japanese Word Segmentation by Hidden Markov Model
    Download  acl.ldc.upenn.edu
    The processing of Japanese text is complicated by the fact that there are no word delimiters. To segment Japanese text, systems typically use knowledge-based methods and large lex...
    Constantine Papageorgiou
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